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DigitalOcean

Full company profile

uuid0000358

Namestring
DigitalOcean
Legal namestring
DigitalOcean Holdings, Inc.
Company typeenum
Public
Founded yearint
2012
Descriptiontext

DigitalOcean (NYSE: DOCN) is a publicly traded cloud infrastructure provider founded in 2012 and headquartered in Broomfield, Colorado, serving a base of more than 600,000 customers that spans individual developers, startups, small and medium businesses, digital-native enterprises, and AI-native companies. The company operates 20 data centers across 11 regions in North America, Europe, and Asia-Pacific, with a self-serve, product-led go-to-market model anchored by developer documentation, community forums, organic SEO, and the annual Deploy conference.

The core product portfolio has evolved from simple virtual machines (Droplets) into a five-layer AI-Native Cloud platform covering Infrastructure (GPU Droplets and Bare Metal GPUs with NVIDIA H100/H200/Blackwell and AMD Instinct silicon over a 400G RoCE fabric), Core Cloud (managed Kubernetes, App Platform, Functions, networking, storage), an Inference Engine supporting 70+ models across serverless, dedicated, batch, and routed execution modes, a Data & Learning layer (Knowledge Bases, Managed Databases, Analytics Engine), and a Managed Agents layer (Open Harness, Sandbox, Plano, Toolbox, State). Acquired brands including Paperspace, Cloudways, SnapShooter, CSS-Tricks, and Katanemo Labs extend the platform into GPU cloud, managed WordPress hosting, backup, developer content, and agentic AI infrastructure respectively.

The business model is a hybrid of subscription recurring revenue (Droplets, Managed Databases, App Platform subscriptions) and usage-based billing (GPU Droplets at $1.99-$3.39/GPU/hour, Inference Engine metered usage, Spaces storage tiers), supplemented by marketplace commissions. Pricing emphasizes predictability against hyperscalers, with entry points at $4/month and a 99.99% uptime SLA for enterprise tiers. Q1 2026 revenue reached $258M (22% YoY), an annualized run-rate of approximately $1.03B, and FY2026 guidance was raised to $1.13-$1.145B. Notable AI customers include Workato (1T+ automation tasks), Character.AI (1B+ daily queries), and Hippocratic AI (20M+ patient interactions), with AI-related ARR growing 150% YoY and AI customer revenue up 221% YoY.

Short descriptiontext

DigitalOcean (NYSE: DOCN) is a public cloud infrastructure provider serving 600,000+ developers, startups, and AI-native businesses through a five-layer AI-Native Cloud platform spanning GPU infrastructure, inference, data, and managed agents across 20 global data centers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1,001–5,000
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
cloud infrastructure, virtual private servers, managed kubernetes, GPU cloud computing, AI inference platform
Industry4 codes
1Managed Application Platforms (App PaaS & Runtime Services)
CodeHDABAAADPrimaryYes
2Cloud Networking Core Services (VPC/VNet, Load Balancing, DNS, NAT)
CodeHDABAAAJPrimaryNo
3AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers)
CodeHDAAAAAGPrimaryNo
4Data & Analytics Platforms (Data Warehousing, Lakes, Streaming)
CodeHDABAAAFPrimaryNo
NAICS code3 codes
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services5182
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services518
  • Software Publishers513210
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Integrated Systems Design7373
Product category
Cloud Infrastructure
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model3 records
1Cloud Infrastructure Services
TypeSubscription Recurring
Description

Primary revenue from compute (Droplets), storage, networking, and GPU services. Usage-based and subscription hybrid model with monthly/annual billing options. Revenue scales with customer usage and commitment levels.

2Managed Services
TypeUsage Based
Description

App Platform and managed database services provide additional revenue through simplified infrastructure management, charging based on usage tiers.

3Marketplace
TypeMarketplace Commission
Description

Revenue from pre-configured applications and services offered through the DigitalOcean Marketplace, with partners providing solutions that integrate with the platform.

Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales
Pricing details4 tiers
1Droplets (Cloud Compute)
ModelSubscriptionBilling cadenceMonthly
Notes

Starting at $4/month for basic Droplet plans. Includes SSD storage, 1GB RAM, 1 vCPU. Scales with resource requirements up to enterprise workloads.

2GPU Droplets
ModelUsage-basedBilling cadencePay-as-you-go
Notes

$3.39/GPU/hour on-demand pricing. $1.99/GPU/hour with commitment. Supports AI/ML training and inference workloads with NVIDIA and AMD GPU options.

3App Platform
ModelFreemiumBilling cadenceMonthly
Notes

$0 for static sites. Starting at $5/month for basic dynamic applications. Scales with usage requirements.

4Managed Databases
ModelSubscriptionBilling cadenceMonthly
Notes

Managed PostgreSQL, MySQL, Redis, MongoDB with pricing based on tier and usage.

GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 5 records shown
1Gradient
Description

AI platform for building and deploying machine learning models

digitalocean.com
+4 more records
Core offering1 text field

DigitalOcean provides an AI-Native Cloud platform for deploying, managing, and scaling applications and AI workloads. Its portfolio spans Droplets (Linux VMs), GPU compute (NVIDIA and AMD), Managed Kubernetes, App Platform, Managed Databases, storage, networking, and an Inference Engine supporting 70+ AI models. The platform serves 600,000+ customers across 14 data centers in 11 regions, with predictable transparent pricing positioned as a simpler alternative to hyperscalers.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • 186% ROI for customers according to Forrester Total Economic Impact Study
+1 more record
Product overview1 text field

DigitalOcean is a cloud infrastructure provider offering an integrated AI-Native Cloud platform for digital-native enterprises and AI-native businesses. The portfolio combines traditional cloud infrastructure (Droplets, Kubernetes, App Platform, Managed Databases, Storage, Networking) with a purpose-built AI layer encompassing the Inference Engine (with Inference Router, Serverless, Dedicated, and Batch modes), Knowledge Bases, Managed Agents (Open Harness, Sandbox, Plano, Toolbox, State), and Model Library (70+ models). The five-layer AI-Native Cloud architecture integrates Infrastructure (GPU Droplets, Bare Metal GPUs with NVIDIA H100/H200/Blackwell and AMD Instinct), Core Cloud, Inference Engine, Data & Learning, and Managed Agents into a unified platform. Supporting products include Cloudways (managed hosting), Paperspace (acquired AI platform), and various infrastructure services. The company serves 600,000+ customers across 14 data centers in 11 regions.

Product and service23 records
1AI-Native Cloud Platform
CategoryCloud Platform
2Inference Engine
CategoryAI Inference
3GPU Droplets
CategoryGPU Compute
4Bare Metal GPUs
CategoryGPU Compute
5Droplets
CategoryCloud Compute
6Managed Kubernetes (DOKS)
CategoryContainers and Orchestration
7App Platform
CategoryPlatform as a Service
8Functions
CategoryServerless Compute
9Managed Databases
CategoryManaged Databases
10Model Library
CategoryAI Models
11Spaces
CategoryObject Storage
12Block Storage
CategoryBlock Storage
13Network File Storage
CategoryNetwork File Storage
14Load Balancers
CategoryLoad Balancing
15Container Registry
CategoryContainer Registry
16Virtual Private Cloud (VPC)
CategoryNetworking
17Uptime Monitoring
CategoryMonitoring
18Cloud Security Posture Management (CSPM)
CategorySecurity
19Identity and Access Management (IAM)
CategorySecurity and Identity
20DDoS Protection
CategorySecurity
21Cloudways Site Manager
CategoryManaged WordPress Hosting
22Cloudways
CategoryManaged Hosting
23Paperspace
CategoryGPU Cloud / ML Workflows
Scale indicator6 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeTechnology or Integration
Description

Strategic partnership providing GPU hardware infrastructure. DigitalOcean offers NVIDIA GPU-powered Droplets for AI/ML workloads including H100, A100, and other NVIDIA GPU options for training and inference workloads.

Strategic tierCoreTypeTechnology or Integration
Description

GPU hardware partnership providing AMD GPU options (MI300X) for AI inference and training workloads, complementing NVIDIA GPU offerings.

Strategic tierFlagshipTypeStrategic or Co-development Partner
Description

Strategic partnership focused on AI infrastructure for healthcare. Includes co-development of open-source project Polaris and deep integration of Hippocratic AI's healthcare-focused language models on DigitalOcean's GPU infrastructure.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Strategic partnership for enterprise AI infrastructure deployment, helping enterprises build and scale AI workloads on DigitalOcean's GPU cloud.

Recent move9 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Dominant hyperscale cloud provider with IaaS, PaaS, and AI services (Bedrock, SageMaker). Directly competes with DigitalOcean's full platform but operates at vastly greater scale across enterprise and SMB segments.

TypeBroad incumbent
Description

Hyperscale cloud platform with comprehensive IaaS/PaaS and AI services (Azure OpenAI, Azure ML). Targets the same digital-native and enterprise workloads as DigitalOcean's AI-Native Cloud.

TypeBroad incumbent
Description

Hyperscale cloud provider offering compute, Kubernetes (GKE), and AI services (Vertex AI). Competes across DigitalOcean's full stack with stronger AI/ML heritage via Google DeepMind.

TypeDirect peer
Description

Direct competitor in developer-focused cloud infrastructure, acquired by Akamai in 2022. Targets SMBs and developers with predictable Linux VM pricing similar to DigitalOcean Droplets.

TypeDirect peer
Description

Privately-held cloud provider competing directly with DigitalOcean in the developer/SMB segment. Offers compute, GPU, and storage with similar predictable pricing model and global data centers.

TypeDirect peer
Description

European-headquartered cloud provider offering dedicated servers, public cloud, and AI solutions. Competes with DigitalOcean in the SMB and developer segments with similar cost-effective positioning.

TypeRegional player
Description

German cloud provider offering low-cost dedicated servers and cloud infrastructure. Primarily serves European market but represents the affordable developer cloud segment where DigitalOcean competes.

TypeDirect peer
Description

Pure-play GPU cloud provider that has emerged as a leading AI infrastructure specialist. Directly competes with DigitalOcean's GPU Droplets and Inference Engine for AI training and inference workloads.

TypeDirect peer
Description

GPU cloud provider specializing in AI training and inference on NVIDIA hardware. Competes directly with DigitalOcean's GPU offerings, particularly for AI-native customers.

TypeEmerging player
Description

Developer-focused PaaS offering web services, databases, and cron jobs. Overlaps with DigitalOcean's App Platform segment, targeting similar developer personas with modern cloud abstractions.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers9 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration22 records

Each record includes

Title, Type, Description, Source

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles12 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries5 records

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds23 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors38 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A8 records

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment2 records

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

DigitalOcean

Cloud Infrastructuredigitalocean.com

DigitalOcean (NYSE: DOCN) is a public cloud infrastructure provider serving 600,000+ developers, startups, and AI-native businesses through a five-layer AI-Native Cloud platform spanning GPU infrastructure, inference, data, and managed agents across 20 global data centers.

What DigitalOcean does

DigitalOcean (NYSE: DOCN) is a publicly traded cloud infrastructure provider founded in 2012 and headquartered in Broomfield, Colorado, serving a base of more than 600,000 customers that spans individual developers, startups, small and medium businesses, digital-native enterprises, and AI-native companies. The company operates 20 data centers across 11 regions in North America, Europe, and Asia-Pacific, with a self-serve, product-led go-to-market model anchored by developer documentation, community forums, organic SEO, and the annual Deploy conference.

The core product portfolio has evolved from simple virtual machines (Droplets) into a five-layer AI-Native Cloud platform covering Infrastructure (GPU Droplets and Bare Metal GPUs with NVIDIA H100/H200/Blackwell and AMD Instinct silicon over a 400G RoCE fabric), Core Cloud (managed Kubernetes, App Platform, Functions, networking, storage), an Inference Engine supporting 70+ models across serverless, dedicated, batch, and routed execution modes, a Data & Learning layer (Knowledge Bases, Managed Databases, Analytics Engine), and a Managed Agents layer (Open Harness, Sandbox, Plano, Toolbox, State). Acquired brands including Paperspace, Cloudways, SnapShooter, CSS-Tricks, and Katanemo Labs extend the platform into GPU cloud, managed WordPress hosting, backup, developer content, and agentic AI infrastructure respectively.

The business model is a hybrid of subscription recurring revenue (Droplets, Managed Databases, App Platform subscriptions) and usage-based billing (GPU Droplets at $1.99-$3.39/GPU/hour, Inference Engine metered usage, Spaces storage tiers), supplemented by marketplace commissions. Pricing emphasizes predictability against hyperscalers, with entry points at $4/month and a 99.99% uptime SLA for enterprise tiers. Q1 2026 revenue reached $258M (22% YoY), an annualized run-rate of approximately $1.03B, and FY2026 guidance was raised to $1.13-$1.145B. Notable AI customers include Workato (1T+ automation tasks), Character.AI (1B+ daily queries), and Hippocratic AI (20M+ patient interactions), with AI-related ARR growing 150% YoY and AI customer revenue up 221% YoY.

DigitalOcean firmographics

Firmographics
Name
DigitalOcean
Legal name
DigitalOcean Holdings, Inc.
Website
https://digitalocean.com
Company type
Public
Founded year
2012
Operating status
Operating
Headcount range
1,001–5,000 employees
Short description
DigitalOcean (NYSE: DOCN) is a public cloud infrastructure provider serving 600,000+ developers, startups, and AI-native businesses through a five-layer AI-Native Cloud platform spanning GPU infrastructure, inference, data, and managed agents across 20 global data centers.
Ownership category
akta.pro rank

DigitalOcean industry classification

Industry
Product category
Cloud Infrastructure
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Software Publishers (513210)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
Managed Application Platforms (App PaaS & Runtime Services) (HDABAAAD)
akta.pro secondary industries
Cloud Networking Core Services (VPC/VNet, Load Balancing, DNS, NAT) (HDABAAAJ), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)

Keywords

  • Cloud infrastructure
  • Virtual private servers
  • Managed kubernetes
  • GPU cloud computing
  • AI inference platform

Where DigitalOcean is headquartered

Location

Headquarters

HQ city
New York
HQ country
United States
HQ region
North America

Offices2 records

Markets served

DigitalOcean business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales

Revenue model

  1. Cloud Infrastructure Services: Primary revenue from compute (Droplets), storage, networking, and GPU services. Usage-based and subscription hybrid model with monthly/annual billing options. Revenue scales with customer usage and commitment levels.
  2. Managed Services: App Platform and managed database services provide additional revenue through simplified infrastructure management, charging based on usage tiers.
  3. Marketplace: Revenue from pre-configured applications and services offered through the DigitalOcean Marketplace, with partners providing solutions that integrate with the platform.

Pricing tiers

ModelBillingPrice
SubscriptionMonthlyDroplets (Cloud Compute)
Usage-basedPay-as-you-goGPU Droplets
FreemiumMonthlyApp Platform
SubscriptionMonthlyManaged Databases

Go-to-market motion3 records

Distribution channels4 records

Marketing channels4 records

DigitalOcean product offering

Product offering

Core offering

DigitalOcean provides an AI-Native Cloud platform for deploying, managing, and scaling applications and AI workloads. Its portfolio spans Droplets (Linux VMs), GPU compute (NVIDIA and AMD), Managed Kubernetes, App Platform, Managed Databases, storage, networking, and an Inference Engine supporting 70+ AI models. The platform serves 600,000+ customers across 14 data centers in 11 regions, with predictable transparent pricing positioned as a simpler alternative to hyperscalers.

Product overview

DigitalOcean is a cloud infrastructure provider offering an integrated AI-Native Cloud platform for digital-native enterprises and AI-native businesses. The portfolio combines traditional cloud infrastructure (Droplets, Kubernetes, App Platform, Managed Databases, Storage, Networking) with a purpose-built AI layer encompassing the Inference Engine (with Inference Router, Serverless, Dedicated, and Batch modes), Knowledge Bases, Managed Agents (Open Harness, Sandbox, Plano, Toolbox, State), and Model Library (70+ models). The five-layer AI-Native Cloud architecture integrates Infrastructure (GPU Droplets, Bare Metal GPUs with NVIDIA H100/H200/Blackwell and AMD Instinct), Core Cloud, Inference Engine, Data & Learning, and Managed Agents into a unified platform. Supporting products include Cloudways (managed hosting), Paperspace (acquired AI platform), and various infrastructure services. The company serves 600,000+ customers across 14 data centers in 11 regions.

Differentiator

Problem solved

Functional benefit

Brands

  • Gradient: AI platform for building and deploying machine learning models
  • Cloudways
  • Paperspace
  • Droplets
  • Hatch

Products and services

  • AI-Native Cloud Platform
  • Inference Engine
  • GPU Droplets
  • Bare Metal GPUs
  • Droplets
  • Managed Kubernetes (DOKS)
  • App Platform
  • Functions
  • Managed Databases
  • Model Library
  • Spaces
  • Block Storage
  • Network File Storage
  • Load Balancers
  • Container Registry
  • Virtual Private Cloud (VPC)
  • Uptime Monitoring
  • Cloud Security Posture Management (CSPM)
  • Identity and Access Management (IAM)
  • DDoS Protection
  • Cloudways Site Manager
  • Cloudways
  • Paperspace

Quantifiable outcome

  • 186% ROI for customers according to Forrester Total Economic Impact Study
  • +1 more outcomes

Companies that use DigitalOcean

Customer profile

Named customers9 records

Segments4 records

Ideal customer profiles4 records

DigitalOcean technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration22 records

AI capability10 records

Feature4 records

DigitalOcean partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core and flagship.

  • NVIDIAcoreTechnology or IntegrationStrategic partnership providing GPU hardware infrastructure. DigitalOcean offers NVIDIA GPU-powered Droplets for AI/ML workloads including H100, A100, and other NVIDIA GPU options for training and inference workloads.
  • AMDcoreTechnology or IntegrationGPU hardware partnership providing AMD GPU options (MI300X) for AI inference and training workloads, complementing NVIDIA GPU offerings.
  • Hippocratic AIflagshipStrategic or Co-development PartnerStrategic partnership focused on AI infrastructure for healthcare. Includes co-development of open-source project Polaris and deep integration of Hippocratic AI's healthcare-focused language models on DigitalOcean's GPU infrastructure.
  • Persistent SystemscoreStrategic or Co-development PartnerStrategic partnership for enterprise AI infrastructure deployment, helping enterprises build and scale AI workloads on DigitalOcean's GPU cloud.

Scale indicators6 records

Recent moves9 records

Expansion highlights6 records

DigitalOcean competitors and assessment

Company assessment

Broad incumbents

  • Amazon Web Services (AWS): Dominant hyperscale cloud provider with IaaS, PaaS, and AI services (Bedrock, SageMaker). Directly competes with DigitalOcean's full platform but operates at vastly greater scale across enterprise and SMB segments.
  • Microsoft Azure: Hyperscale cloud platform with comprehensive IaaS/PaaS and AI services (Azure OpenAI, Azure ML). Targets the same digital-native and enterprise workloads as DigitalOcean's AI-Native Cloud.
  • Google Cloud Platform (GCP): Hyperscale cloud provider offering compute, Kubernetes (GKE), and AI services (Vertex AI). Competes across DigitalOcean's full stack with stronger AI/ML heritage via Google DeepMind.

Direct peers

  • Linode (Akamai): Direct competitor in developer-focused cloud infrastructure, acquired by Akamai in 2022. Targets SMBs and developers with predictable Linux VM pricing similar to DigitalOcean Droplets.
  • Vultr: Privately-held cloud provider competing directly with DigitalOcean in the developer/SMB segment. Offers compute, GPU, and storage with similar predictable pricing model and global data centers.
  • OVHcloud: European-headquartered cloud provider offering dedicated servers, public cloud, and AI solutions. Competes with DigitalOcean in the SMB and developer segments with similar cost-effective positioning.
  • CoreWeave: Pure-play GPU cloud provider that has emerged as a leading AI infrastructure specialist. Directly competes with DigitalOcean's GPU Droplets and Inference Engine for AI training and inference workloads.
  • Lambda Labs: GPU cloud provider specializing in AI training and inference on NVIDIA hardware. Competes directly with DigitalOcean's GPU offerings, particularly for AI-native customers.

Regional players

  • Hetzner: German cloud provider offering low-cost dedicated servers and cloud infrastructure. Primarily serves European market but represents the affordable developer cloud segment where DigitalOcean competes.

Emerging players

  • Render: Developer-focused PaaS offering web services, databases, and cron jobs. Overlaps with DigitalOcean's App Platform segment, targeting similar developer personas with modern cloud abstractions.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

DigitalOcean social profiles

Digital presence

DigitalOcean compliance and trust

Trust signal

Compliance2 records

DigitalOcean financial estimates

Financial estimate

Revenue estimate

Valuation estimate

DigitalOcean leadership team

Management profile

Number of profiles

Profiles12 records

DigitalOcean subsidiaries and ownership

Company hierarchy

Subsidiaries5 records

DigitalOcean funding detail

Funding detail

Funding overview

Funding rounds23 records

Investors38 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

DigitalOcean M&A and investment

M&A and investment

M&A8 records

Investments2 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DigitalOcean

What does DigitalOcean do?

DigitalOcean provides an AI-Native Cloud platform for deploying, managing, and scaling applications and AI workloads. Its portfolio spans Droplets (Linux VMs), GPU compute (NVIDIA and AMD), Managed Kubernetes, App Platform, Managed Databases, storage, networking, and an Inference Engine supporting 70+ AI models. The platform serves 600,000+ customers across 14 data centers in 11 regions, with predictable transparent pricing positioned as a simpler alternative to hyperscalers.

Is DigitalOcean a public or private company?

DigitalOcean is a public company. It is classified as public and is currently operating.

When was DigitalOcean founded?

DigitalOcean was founded in 2012. It employs 1,001 to 5,000 people.

Where is DigitalOcean based?

DigitalOcean is headquartered in New York, United States, in the North America region.

How does DigitalOcean make money?

Three revenue lines are on record. Cloud Infrastructure Services are the primary driver. The others are managed Services and marketplace.

Who are DigitalOcean's main competitors?

Broad incumbents on record are Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Direct peers are Linode (Akamai), Vultr, OVHcloud, CoreWeave and Lambda Labs. Hetzner is listed as a regional player. Render is listed as an emerging player.

Does DigitalOcean have an API?

Yes. DigitalOcean provides a comprehensive REST API that allows developers to interact with all DigitalOcean resources including Droplets, Kubernetes clusters, firewalls, load balancers, database clusters, domains, and more. The API supports most functionality found in the control panel and is accessible at https://docs.digitalocean.com/reference/api. Authentication methods, rate limits, and versioning are documented. An official Python SDK (PyDo) is available. MCP (Model Context Protocol) server reference is documented for AI integrations. Developer documentation is at docs.digitalocean.com/reference/api.

What industry is DigitalOcean in?

DigitalOcean's product category is Cloud Infrastructure. Its primary akta.pro industry code is HDABAAAD, Managed Application Platforms (App PaaS & Runtime Services), with a secondary code of HDABAAAJ, Cloud Networking Core Services (VPC/VNet, Load Balancing, DNS, NAT). Its NAICS code is 5182 and its SIC code is 7370.

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Live signals
Yahoo2 Momentum Stocks with Solid Fundamentals and 1 We Brush OffThe article evaluates three momentum stocks, recommending against Shoals (SHLS) due to declining profitability and free cash flow margin, while favoring DigitalOcean (DOCN) and Hewlett Packard Enterprise (HPE) on growth and earnings. Shoals trades at 15.8x forward P/E, DOCN at 12.5x forward P/S, and HPE shows 28.5% annual EPS growth.Ticker ReportDigitalOcean (NYSE:DOCN) vs. Amadeus IT Group (OTCMKTS:AMADY) Critical SurveyDigitalOcean and Amadeus IT Group are compared across valuation, profitability, and analyst ratings. Amadeus has higher revenue and a lower P/E ratio, but DigitalOcean has a stronger consensus rating and higher upside. DigitalOcean beats Amadeus on 11 of 15 factors.WebProNewsDigitalOcean Positions Agents as the New Cloud Front Door With Managed Agents PreviewDigitalOcean opened its Managed Agents platform to public preview, offering isolated microVM runtimes for AI agents with access to over 16,000 tools. Sessions charge $0.044 per vCPU-hour and $0.0095 per GB-hour, with resume latency of 305 milliseconds. The company expects general availability but offers no service-level guarantees.The Motley FoolThis AI Infrastructure Stock Is Up 177% in 2026, and It Is Significantly Cheaper Than NebiusDigitalOcean's stock rose 177% in 2026 after shifting to AI-focused cloud infrastructure, with Q2 revenue up 29% to $281 million and RPO jumping 12x to $894 million. Its trailing price-to-sales ratio of 16 is a third of Nebius' multiple, and management expects revenue growth of at least 50% in 2027.The Motley FoolThis AI Infrastructure Stock Is Up 177% in 2026, and It Is Significantly Cheaper Than NebiusDigitalOcean's stock rose 177% in 2026, driven by its AI infrastructure pivot, while Nebius gained 182%. DigitalOcean's RPO jumped 12x to $894 million, and its trailing P/S ratio is one-third of Nebius'. The company expects revenue growth of at least 50% in 2027.American Banking and Market NewsCritical Analysis: Predictive Oncology (NASDAQ:POAI) vs. DigitalOcean (NYSE:DOCN)DigitalOcean outperforms Predictive Oncology on 13 of 15 factors, including revenue, earnings, and analyst ratings. DigitalOcean's consensus price target is $152.81, implying 9.08% upside, while Predictive Oncology trades at a lower P/E but higher volatility.Quiver QuantitativeDigitalOcean Gains as New AI Agent Offering Adds to Growth Narrative | DOCN Stock NewsDigitalOcean Holdings shares rose 5.7% after the company launched Agent Droplets, a bundled AI agent offering combining compute, storage, inference, and tools. The gain is supported by investor interest in its AI cloud expansion, including Managed Agents and fresh financing. Analysts have set a median price target of $179.MarketScreenerDigitalocean Introduces Agent Droplets: Everything an Ai Agent NeedsDigitalOcean announced Agent Droplets, a bundled service for AI agents, with Pro at $50 and Team at $200 per month. The plan includes Managed Agents, Serverless Inference, and access to 16,000+ tools, with discounts of 15% and 20% respectively. Customers can start with a $5 free trial and scale with elastic resources.Pulse 2.0DigitalOcean Launches Agent Droplets With AI Agent Plans Starting At $50 Per MonthDigitalOcean launched Agent Droplets, a subscription-based offering bundling AI agent infrastructure into monthly plans. The Pro tier costs $50 per month with a 15% discount, and the Team tier costs $200 with a 20% discount. The company plans to expand included resources over time.diginomicaDigitalOcean wants to make AI agent pricing feel like the original Droplet - one price, start buildingDigitalOcean launched Agent Droplets, a subscription bundling compute, memory, storage, inference, and tool access for AI agents. The $50 solo and $200 team tiers offer 15% and 20% discounts on open-model resources, with no seat limits. The platform includes credential isolation, observability, and a non-expiring prepaid balance.